Balaji Lakshminarayanan
31 papers · 2011–2023 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 6 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Balaji Lakshminarayanan?
2 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yee Whye Teh, Eric Nalisnick, Daniel M. Roy
12 papers
· 2013–2021
· NeurIPS, JMLR, ICLR
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Normalizing Flows for Probabilistic Modeling and Inference
JMLR 2021
Bayesian Deep Ensembles via the Neural Tangent Kernel
NeurIPS 2020
Do Deep Generative Models Know What They Don't Know?
ICLR 2019
Hybrid Models with Deep and Invertible Features
ICML 2019
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
ICLR 2018
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server
JMLR 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
NeurIPS 2017
Mondrian Forests for Large-Scale Regression when Uncertainty Matters
AISTATS 2016
Particle Gibbs for Bayesian Additive Regression Trees
AISTATS 2015
Distributed Bayesian Posterior Sampling via Moment Sharing
NeurIPS 2014
Mondrian Forests: Efficient Online Random Forests
NeurIPS 2014
Top-down particle filtering for Bayesian decision trees
ICML 2013
4 papers whose co-authors appear nowhere else under this name
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
NeurIPS 2022
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
ICLR 2020
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems
ICML 2019
Robust Bayesian Matrix Factorisation
AISTATS 2011